An effective vortex detection approach for velocity vector field

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Detection of vortices, which are rotating flow features, is an important task to identify, analyze, and understand flow dynamics in a fluid. For example, it can be used to accurately tag nonrigid salient rotation features from large amount of wind vectors captured by orbiting satellites for hurricane research. In this paper, we describe in detail a general vortex detection algorithm motivated by Hough transform and flow vector tree structures. The vortex detection algorithm allows one to find the exact vortex center efficiently if it is in the vector field. A special case of the algorithm has been successfully applied to cyclone annotation and tracking using QuikSCAT satellite wind measurements.

Original languageEnglish (US)
Title of host publicationICPR 2012 - 21st International Conference on Pattern Recognition
Pages2643-2646
Number of pages4
StatePublished - Dec 1 2012
Externally publishedYes
Event21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan
Duration: Nov 11 2012Nov 15 2012

Other

Other21st International Conference on Pattern Recognition, ICPR 2012
CountryJapan
CityTsukuba
Period11/11/1211/15/12

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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